From Deep Learning to Edge Intelligence Dataset

It includes rich metadata fields such as authorship, article titles, abstracts, keywords, affiliations, funding information, citation counts, publication sources, and research areas, enabling comprehensive analysis of research trends, collaboration networks, and scientific impact.

The dataset spans multiple document types (primarily journal articles), incorporates citation and usage metrics, and provides detailed indexing information (e.g., WoS categories and research areas), making it particularly suitable for systematic literature reviews, bibliometric mapping, and trend analysis in emerging AI paradigms that transition from centralized deep learning models to distributed, resource-efficient edge intelligence systems.